DocumentCode :
702721
Title :
Leaf shape extraction for plant classification
Author :
Amlekar, M.M. ; Gaikwad, A.T. ; Manza, R.R. ; Yannawar, P.L.
Author_Institution :
Inst. of Manage. Studies & Inf. Technol., Aurangabad, India
fYear :
2015
fDate :
8-10 Jan. 2015
Firstpage :
1
Lastpage :
4
Abstract :
This research paper presents the leaf shape extraction for plant classification. Leaves are very important component of the plant which actually identifies and classify the plants. Classification of the plant by their leaf biometric features is commonly performed task of trained botanist and taxonomist. To perform this task they need to perform various set of operations. Because of this the task of classification of plants manually is time consuming. There are many biometric features of leaves of the plants for classification. Here the shape of leaves of the plant species are extracted for plant classification. In this paper, various operators are studied for the leaf extraction from images by using the image processing techniques.
Keywords :
feature extraction; image classification; image processing techniques; leaf biometric features; leaf shape extraction; plant classification; Approximation methods; Detectors; Feature extraction; Image edge detection; Image segmentation; Shape; Canny; Prewitt; Roberts; Sobel; leaf shape; plant classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/PERVASIVE.2015.7087088
Filename :
7087088
Link To Document :
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